Table REF  provides quantitative results of de-biasing StyleGAN2 across categorical attributes (Figure REF ). Specifically, we used the pre-trained classifier provided by FairFace [1]} to classify the attributes of the generated images. We then report the KL divergence between the attribute distribution of the generated images and the uniform distribution.
Figure REF  and Figure REF  visualize the de-biasing results.
We report the KL divergence between the generated distribution and the uniform distribution.
Interestingly, on MetFaces, de-biasing the race results in more sculptures, and we postulate that the reason is that almost all paintings and sketches in MetFaces are for white individuals.
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